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Summary

A Software Engineer having 4 years experience:
=> internship on web application development, permanent job on application development and support
=> personal and academic projects on applied machine learning and Big Data management and analysis
=> self-learned system design fundamental
=> online training and certifications

More Info

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View my CV for a complete list of my work and projects

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Technical Skills

Lang: Java, Python, Scala
Web: Spring, Spring Boot
Big Data: Hadoop, Spark
DevOps: Git, Jenkins, Docker
Database: SQL, NoSQL
Front End: HTML/CSS/JS
Cloud: AWS S3/EC2/EMR, Elastic

Links to my work

My Project repositories:
github.com/likarajo
gitshowcase.com/likarajo

My Digital credentials:
youracclaim.com/users/likarajo

My Blogs and Articles:
likarajoblogs.wordpress.com
Also in my LinkedIn profile articles

Disclaimer

Made w/ pagedown |

Last updated on 2019-10-19

Main

Rajarshi Chattopadhyay

Recent Education

M.S. in Computer Science, Intelligent Systems

University of Texas at Dallas

Dallas, TX, USA

2020 - 2018

  • Data Structures, Big Data, Machine Learning

Selected Positions

Software Engineer Intern, IT

Tesla

Fremont, CA, USA

2019

  • Infrastructure automation: Automated infrastructure access requests and brought down the turnaround time by 90%.

Software Development Engineer Intern

Copart

Dallas, TX, USA

2019

  • Developed and maintained web application modules and REST microservices for billing and payments operations.

Software Systems Engineer

IBM

Kolkata, WB, India

2018 - 2014

  • Developed and maintained client application back-end. Automated DB updates and app-queue monitoring. Received IBM Best Emerging Techie Award in 2016.

Selected Projects

Twitter Sentiments

Academic

N/A

2019

  • A Spark Streaming application for live tweets sentiment analysis.
  • Scala, SBT, Spark, Twitter API, Zookeeper, Kafka, ElasticSearch, Logstash, Kibana
  • likarajo.github.io/twitter_sentiments

Breast Cancer Diagnosis

Academic

N/A

2019

  • Model built for diagnosing and predicting Breast Cancer with Support Vector Machine using Wisconsin Breast Cancer diagnostic data set.
  • Python, Scikit-Learn, Support-Vector-Classifier
  • likarajo.github.io/breastcancer_diagnosis

House Price Prediction

Academic

N/A

2019

  • Analyzing house price data from Kaggle and building a model using the data which can be used to predict the final price of a house.
  • Python, Feature-engineering, AWS S3 EC2 EMR, Spark, Scala, Regression
  • likarajo.github.io/house_price

News Topic Modelling

Academic

N/A

2019

  • Find out topic of news from CNN news data
  • Spark, Scala, Latent-Dirichlet-Allocation
  • github.com/likarajo/topics